Non-Negative matrix factorization (NMF) has emerged as an important technique for simplifying high-dimension data into interpretable factors. NMF has the attractive characteristic that the factor matrices are naturally ...
A common task in many domains with a temporal aspect involves identifying and tracking clusters over time. Often dynamic data will have a feature-based representation. In some cases, a direct mapping will exist for both ...